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Demographic stage

Where a population sits in the demographic transition, from high births and deaths to low births and a shrinking count.

The demographic transition model (Warren Thompson, 1929; Frank Notestein, 1945), with the fifth "declining" stage later authors added for countries where deaths now exceed births.

Stages describe where a country sits against its own past and other countries. They are not ratings: no stage is better or worse than another, and Palanor never sorts countries by one.

Publishing stages · 71 countries · yearly, 1990 on · method v1, pre-registered 2026-10-22

Passes the pre-registered episode check: 6 of 6 episodes read as expected (0 missed, 0 untestable).

The stages

  1. 1. High stationary

    Births and deaths are both high, so the population grows slowly.

  2. 2. Early expanding

    Deaths have fallen while births stay high: the population grows fast.

  3. 3. Late expanding

    Births are falling toward deaths; growth slows and the working-age share swells.

  4. 4. Low stationary

    Births and deaths are both low and close together; the population is near flat and ageing.

  5. 5. Declining

    Deaths outnumber births: without migration the population shrinks.

Low stationary99% · coverage 100% · as of 2025-12-31

Low stationary. 4 of 4 indicators that speak to this stage sit at or near its range. Births per 1,000 people reads 10.5, within 9.0 – 17.0.

EvidenceValueAs ofReads as
Births per 1,000 people10.52024stage 4
Deaths per 1,000 people7.022024—
Natural increase per 1,000 (births − deaths)3.52024stage 1
Births per woman1.382024stage 4
Aged 65 and over, %14.9%2025stage 4

Where each country has been

One row per country, alphabetical; one cell per year, shaded by the leading stage. Hatched cells were withheld: too little of the evidence was published to place the country. Select a country for its reading and evidence.

Country19901995200020052010201520202025Latest
ArgentinaLow stationary 2025
AustraliaLow stationary 2025
AustriaDeclining 2025
BahrainLow stationary 2025
BelgiumDeclining 2025
BoliviaLate expanding 2025
BrazilLow stationary 2025
BulgariaDeclining 2025
CanadaLow stationary 2025
ChileLow stationary 2025
ChinaDeclining 2025
ColombiaLow stationary 2025
Costa RicaLow stationary 2025
CroatiaDeclining 2025
CyprusLow stationary 2025
CzechiaDeclining 2025
DenmarkDeclining 2025
DR CongoEarly expanding 2025
EcuadorLow stationary 2025
EgyptLate expanding 2025
EstoniaDeclining 2025
EthiopiaEarly expanding 2025
FinlandDeclining 2025
FranceLow stationary 2025
GermanyDeclining 2025
GreeceDeclining 2025
HungaryDeclining 2025
IcelandLow stationary 2025
IndiaLate expanding 2025
IndonesiaLate expanding 2025
IranLow stationary 2025
IraqLate expanding 2025
IrelandLow stationary 2025
IsraelLate expanding 2025
ItalyDeclining 2025
JapanDeclining 2025
JordanLate expanding 2025
KuwaitLow stationary 2025
LatviaDeclining 2025
LithuaniaDeclining 2025
LuxembourgLow stationary 2025
MaltaDeclining 2025
MexicoLate expanding 2025
NamibiaLate expanding 2025
NetherlandsDeclining 2025
New ZealandLow stationary 2025
NorwayLow stationary 2025
OmanLate expanding 2025
PanamaLate expanding 2025
ParaguayLate expanding 2025
PeruLate expanding 2025
PolandDeclining 2025
PortugalDeclining 2025
QatarLow stationary 2025
RomaniaDeclining 2025
RussiaDeclining 2025
Saudi ArabiaLate expanding 2025
Sierra LeoneLate expanding 2025
SlovakiaDeclining 2025
SloveniaDeclining 2025
South AfricaLate expanding 2025
South KoreaDeclining 2025
SpainDeclining 2025
SwedenLow stationary 2025
SwitzerlandLow stationary 2025
TurkeyLow stationary 2025
United Arab EmiratesLow stationary 2025
United KingdomLow stationary 2025
United StatesLow stationary 2025
UruguayDeclining 2025
ZambiaEarly expanding 2025
High stationaryEarly expandingLate expandingLow stationaryDecliningWithheld

How it is read

Each indicator has a range for every stage it speaks to, in its own units. A value inside a range counts fully for that stage and less the further outside it falls. Stage fits become probabilities; the leading stage is published only when at least 60% of the indicator weight is readable and fresh, a strong stage’s named evidence agrees (gates), and a challenger leads the current stage by 15 points before the call changes.

IndicatorWeightHigh stationaryEarly expandingLate expandingLow stationaryDeclining
Births per 1,000 people25%> 35.0> 30.016.0 – 32.09.0 – 17.0< 10.0
Deaths per 1,000 people13%> 18.09.0 – 20.0——> 9.5
Natural increase per 1,000 (births − deaths)25%< 12.0> 20.07.0 – 22.00.0 – 8.0< 0.0
Births per woman25%> 5.0> 4.02.1 – 4.21.3 – 2.3< 1.6
Aged 65 and over, %13%< 4.0%< 5.0%3.5% – 10.0%9.0% – 22.0%> 16.0%

Gates: High stationary needs deaths per 1,000 people at or near its range; Declining needs natural increase per 1,000 (births − deaths) at or near its range.

The publish gate

Before any reading was computed, Palanor named known episodes and the stages they should read as. A schema publishes stages only if at least two episodes read as expected and hits outnumber misses. Misses stay on this page.

EpisodeExpectedRead (years)Outcome
Japan, 2010–2024DecliningDeclining 15hit
Japan, 1995–2004Low stationaryLow stationary 10hit
South Korea, 2021–2024DecliningDeclining 4hit
Ethiopia, 1990–2005Early expandingEarly expanding 16hit
India, 2000–2020Late expandingLate expanding 21hit
United States, 2000–2024Low stationaryLow stationary 25hit

What it cannot see

Natural increase leaves out migration, so a country in the Declining stage can still be growing. The World Bank’s figures for recent years are UN estimates that are revised every two years.

References

  1. Warren S. Thompson, Population (1929).
  2. Frank W. Notestein, Population: The Long View (1945).
  3. Ronald Lee, The Demographic Transition: Three Centuries of Fundamental Change (2003).
  4. United Nations, World Population Prospects 2024 (2024).

Recomputed weekly · last 2026-10-22 · signals country.<iso3>.schema.demographic.stage and .position · How Country Schemas work

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